AWS Partner Network (APN) Blog

Tag: AWS Services Partners

Infostretch-AWS-Partners

Solving the Challenge of Customer Verification and Security with Digital Onboarding

Customer onboarding remains a challenging and time-consuming process for most banks. Both digital and traditional processes are often overly complex, resulting in lower conversion rates and higher cost of acquisition. To overcome these challenges, numerous financial institutions have started customer onboarding online. In this post, walk through the use case of one of the largest financial institutes of Europe for whom Infostretch provided a substantial breakthrough to onboard the customers digitally.

Deloitte-AWS-Partners

Managing the Evolution of an Amazon Redshift Data Warehouse Using a Declarative Deployment Pipeline

Enterprise data warehouses are complex and consist of database objects that need to be modified to reflect the changing needs of business, data analytics, and machine learning teams. In this post, learn about an approach to managing the evolution of enterprise-scale data warehouses based on the experience of Deloitte’s Data and AI global practice teams. The declarative tool developed by Deloitte that can automatically generate DDL statements to align Amazon Redshift’s state to an approved baseline configuration.

Data-Analytics-2.1

Data and Analytics Partners Scale Their Business with AWS Partner Differentiation Programs

In the data and analytics world, many customers have learned how expert AWS Partners can help them rethink and modernize their data architectures, or migrate and manage data warehouses, data-driven applications, and governed data lakes on AWS. To set your data and analytics business apart, it’s important to leverage the AWS Partner Network (APN) and our various differentiation programs. Whether you are just beginning to build or expand your AWS-based business, we offer programs to help you succeed.

Mission-Cloud-Services-AWS-Partners

How to Simplify Machine Learning with Amazon Redshift

Building effective machine learning models requires storing and managing historical data, but conventional databases can quickly become a nightmare to regulate. Queries start taking too long, for example, slowing down business decisions. Learn how to use Amazon Redshift ML and Query Editor V2 to create, train, and apply ML models to predict diabetes cases for a sample diabetes dataset. You can follow a similar approach to address other use cases such as customer churn prediction and fraud detection.

Proving the Performance of Oracle Exadata-Based Workloads on AWS

Organizations the world over rely on the Exadata database platform to operate and manage Oracle databases, simplify data management, and ensure performance-intensive systems are running as expected. While Exadata workloads perform well on premises, customers are looking to achieve the scalability, flexibility, and cost benefits of AWS. Learn how Navisite tests the performance of Exadata workloads once they have been migrated to AWS using Oracle Real Application Testing (RAT).

TCS-AWS-Partners-1

How TCS is Delivering Remote Virtual Inspections for Insurers Enabled by AWS Services

By avoiding inspections, insurers lose the opportunity to adequately consider all factors during underwriting and take on more risk. TCS has built a virtual inspection solution on AWS that is customizable to various inspection use cases, such as home insurance inspections and claims, auto claims damage assessment and estimation, and mortgage inspection. This post provides an overview of the TCS virtual inspection solution, describes the high-level architecture, and explores the potential business benefits for insurers.

Element 84-AWS-Partners

Transforming Geospatial Data to Cloud-Native Frameworks with Element 84 on AWS

Element 84, in collaboration with AWS and Geoscience Australia, has released the Sentinel-2 Cloud-Optimized GeoTIFF (COG) dataset on AWS Open Data. Sentinel-2 is an important platform for Earth observation, and its imagery contributes to ongoing research in climate change, land use, and emergency management. By making the Sentinel-2 archive more cloud-native, we are making the data more user-friendly and (hopefully) making the lives of emergency managers, climate scientists, and policy makers that much easier.

Virtusa-AWS-Partners

How Financial Institutions Can Innovate Faster with Virtusa’s Open Innovation Platform on AWS

Financial institutions need to keep up with fast-changing market conditions while increasing digital adoption. To provide an end-to-end digital experience to customers, they need capabilities to rapidly validate ideas and conduct experiments or PoCs with an ability to iterate quickly towards the final solution. Virtusa’s Open Innovation Platform (OIP) is hosted on AWS and helps banks and financial services firms to achieve these goals quickly, efficiently, and at low cost.

Wipro-AWS-Partners

How Wipro Improves Airport Passenger Boarding Queue Times Using AWS Services

The aviation industry was impacted greatly by COVID-19 as the need for social distancing and safety precautions became fundamental in reducing the spread. As air travel begins to increase, enabling social distancing standards for passenger safety is critical in restoring confidence when flying. AWS Premier Consulting Partner Wipro has developed a solution called Passenger Queue System (PQS) that alleviates passenger congestion and affords more freedom for passengers to dine and shop prior to the boarding process.

Relevance-Lab-AWS-Partners

Get Dynamic Insights into Your Cloud with an Application-Centric View

Relevance Lab is a platform-led services company specializing in cloud, DevOps and automation, analytics, and digital transformation. RLCatalyst AppInsights from Relevance Lab is a product complementing the AWS Service Catalog AppRegistry to provide application-centric views of cloud resources combining infrastructure, applications, and services. It supports a dynamic CMDB for operational excellence and cost governance in ServiceNow. The application is available at ServiceNow Store at no additional cost.